OPEN ACCESS
RÉSUMÉ. Ce travail vise à aider les utilisateurs à trouver l’information pertinente qu’ils cherchent quand ils se trouvent face à une quantité grandissante de données numérisées produites par un nombre important d’acteurs distants et de profils hétérogènes. Nous proposons de recommander à chacun d’entre eux, une liste personnalisée d’« Apprenants leaders » susceptibles de l’accompagner durant son processus d’apprentissage médiatisé. L’approche repose sur une phase de prédiction périodique et incrémentale des « Apprenants leaders » basée sur l’aide à la décision multicritère et une phase de recommandation basée sur le filtrage démographique. Elle est validée
dans un contexte des MOOC (Massive Open Online Courses).
ABSTRACT. The purpose of this work is to help the users find the relevant information they need when they are faced with a growing mass of digitized data produced by a massive number of remote actors with heterogeneous profiles. Thus, we propose to recommend to each of them a personalized list of “Leader learners » who can support them during their mediated learning process. The approach relies on a periodic and incremental prediction phase of “ Leader learners » based on multicriteria decision making and a recommendation phase based on the demographic filtering. It is validated in a context of MOOCs (Massive Open Online Courses).
MOTS-CLÉS : systèmes de recommandation, échange d’informations, processus d’accompagnement, transfert des savoirs, apprenant leader, MOOC.
KEYWORDS: recommender system, information exchange, support process, knowledge transfer, leader learner, MOOC.
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